Verbaterm Policy Intelligence

io.github.TensorsWillFlow/verbaterm · v1.0.0

Judged, citation-checked policy corpus over MCP. Keyless public reads; API key for AI tools.

MCPremoteAPI key

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Reachable, 7 tools, protocol 2025-06-18 · checked 2026-10-17

A 89/100

What it does: 7 tools · 5 read, 1 write

Test call list_policies: worked (1,499 ms)

How the rating is made

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Remote URL

https://verbaterm.com/mcp

7 tools listed at last check

search_policies Search Verbaterm's judged, citation-checked public policy corpus (companies, products, policy kinds). Returns derived review metadata — findings counts, scores, freshness — never raw policy text.
list_policies List published public-library policy reviews available in the corpus.
get_policy_review Get the full judged review for one published policy: findings with verbatim citation excerpts, scores, summary, and provenance. Cite the source URLs back to the user.
start_private_review Start a private Verbaterm review of pasted policy text (requires a Verbaterm API key; debits the caller's plan allowance, not API credits). Returns a sessionId to poll with get_private_review_progress.
get_private_review_progress Poll progress of a private review started with start_private_review.
get_private_review_result Get the completed private review (findings + citations) for a session started with start_private_review. Raw source text is not returned.
ask_question Ask a citation-grounded follow-up question about a public library review or a private session (requires a Verbaterm API key; debits the caller's plan Q&A allowance).

Markdown for your README

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